Visar resultat för..."MANNING PUBLICATIONS"

APIs are your app’s front door. What if hackers already have the keys? Protect your APIs from modern cyber threats. Master OWASP Top 10 defenses with secure, scalable solutions.  OWASP Top 10 guidance: Spot and eliminate the most critical API risks before attackers exploit them.  API security by design: Integrate strong security principles into every stage of API architecture and development.  Zero-trust security: Enforce strict access controls to minimize the impact of compromised credentials or services.  Automated API testing strategies: Continuously validate security with tools and processes that detect vulnerabilities early. Observability and monitoring for threat detection: Gain visibility into API behavior to identify and respond to intrusions quickly.Secure APIs: Design, Build, and Implement by José Haro Peralta delivers a hands-on guide to building secure APIs. With Python-based examples and a clear focus on the OWASP Top 10, this book equips developers, architects, and security professionals with the knowledge and tools to defend against real-world API vulnerabilities.Through practical examples, you’ll learn how to apply authentication and authorization best practices, enforce zero-trust security, and implement API gateway controls. The book addresses specific vulnerabilities, offering actionable solutions supported by code samples and testing strategies. Observability and monitoring techniques help to detect intrusions early and respond effectively.By the end of this book, you will be able to design, deploy, and maintain strong APIs that are robust against attacks and compliant with security standards. It also protects your applications and your users.Ideal for developers, software architects, cybersecurity professionals, and QA engineers who need practical, real-world API security solutions.

You know Python’s syntax, but when it comes to real projects you freeze or second-guess yourself. You are not alone. Many learners struggle to turn knowledge into action, even after completing tutorials or coursework. What if you could practice daily with focused challenges that build confidence, fluency, and muscle memory for writing clean, efficient, and professional Python code?  50 focused exercises: build muscle memory for core and advanced language features.  Built-in data structures: write shorter, faster code with lists, tuples, dictionaries, and sets.  Functional techniques: unlock map, filter, and comprehensions for elegant data pipelines.  Object-oriented drills: design, create, and extend classes that stay maintainable.  Iterators and generators: process large data streams while saving memory and time.  Full solutions and explanations: verify your approach and learn professional idioms. Python Workout by veteran instructor Reuven M. Lerner offers a practical, workbook-style route to skill mastery.Each self-contained challenge targets a specific concept, then walks you through a clear, annotated solution. The progressive sequence mirrors real coding tasks so readers advance naturally from fundamentals to powerful patterns.Finish the book able to read, refactor, and write Python that stands up in production code reviews. The habits you form here stick because you learn by doing, not by memorizing.Ideal for developers who know basic syntax and need fluency for work, study, or personal projects.

Scripts keep crashing and stakeholders demand data they can trust. Late-night alerts drain your energy and delay business decisions. Manual fixes multiply as pipelines sprawl across clouds and clusters. You need orchestration that scales without sacrificing reliability or sleep. Apache Airflow promises order, yet its power can feel overwhelming. This book makes Airflow mastery achievable, practical, and immediately rewarding.  Dynamic scheduling with Dataset API: Align complex, irregular jobs to real-world data availability.  Taskflow API patterns: Write cleaner Python code, reduce boilerplate, and speed team onboarding.  Container-native deployments: Run pipelines on Kubernetes for elastic scaling and cost control.  Comprehensive testing strategies: Catch issues before production, slash incident time, protect reputation.  Production-ready best practices: Logging, security, and monitoring that keep auditors and leaders happy.  Custom operator design: Extend Airflow to any system, unlocking limitless integration possibilities. Data Pipelines with Apache Airflow, Second Edition gathers five seasoned consultants into one definitive field guide. Their combined experience turns cutting-edge features into steps you can reproduce today. It is the trusted companion for every data engineer. The book starts with Airflow architecture, then walks through DAG design, testing, deployment, and operations. Updated chapters reveal Taskflow, Dataset scheduling, and Kubernetes setups, explained through real projects, not toy examples. Clear language, diagrams, and downloadable code remove guesswork. Finish the last page knowing your pipelines deploy reliably, recover gracefully, and scale effortlessly. Sleep through the night while Airflow delivers fresh, accurate data to every downstream consumer. Ideal for data engineers, DevOps, machine-learning engineers, and Python-savvy analysts ready to level-up orchestration skills.

AI libraries evolve weekly and tutorials rarely keep pace. Need a reliable playbook that simply works? Hugging Face in Action turns cutting-edge models into clear, runnable Python projects you can launch today. Inside you’ll find:  Utilizing Hugging Face Transformers and Pipelines for NLP tasks: Produce accurate NLP results without deep math or custom training. Applying Hugging Face techniques for Computer Vision projects: Detect objects and classify images using pretrained models that save months.  Manipulating Hugging Face Datasets for efficient data handling: Share data efficiently, eliminating fragile, one-off scripts. Training Machine Learning models with AutoTrain functionality: Train custom models with almost no code, accelerating experiments and proofs of concept.  Autonomous AI agents: Implement AI agents to automate tasks and integrate them into your applications.  Developing LLM-based applications using LangChain and LlamaIndex: Build retrieval-augmented chatbots that answer from your private knowledge bases.  Hugging Face in Action by Wei-Meng Lee delivers a step-by-step, project-based roadmap in print and eBook. Each chapter adds one layer of the modern Hugging Face ecosystem, reinforcing concepts through hands-on builds. Clear tips, checklists, and complete code samples help you avoid pitfalls and stay productive. You will start with simple text generation and progress to image classification, retrieval-augmented generation (RAG), and autonomous AI agents. Clear tips, checklists, and performance notes help you avoid common pitfalls while staying productive. By the end of this book, you will be ready to fine-tune models, manage datasets, and release AI features. Your solutions will remain maintainable as libraries evolve. Ideal for Python developers comfortable with NumPy or Pandas who want a fast, practical entry into applied AI.

Thanks to jQuery, almost no one remembers the bad old days when developers had to manually manage browser inconsistencies, CSS support, and DOM navigation, and every animation was a frustrating exercise in hand-coded JavaScript. jQuery beautifully manages these concerns, and more, through an elegant, instantly-intuitive library that's become a nearly-universal part of the web. And the latest version of jQuery adds even more features and components to make life as a web developer smooth and productive.   jQuery in Action, Third Edition, is a fast-paced complete guide to jQuery, focused on the tasks faced in nearly any web dev project. Written for readers with minimal JavaScript experience, this revised edition adds new examples and exercises, along with the deep and practical coverage you expect from an "In Action" book. You'll learn how to traverse HTML documents, handle events, perform animations, write plugins, and even unit test your code. The unique lab pages anchor each concept with real-world code. Several new chapters teach you how to interact with other tools and frameworks to build modern single-page web applications.   　 RETAIL SELLING POINTS Complete, up-to-date, fast-paced guide Focuses on tasks faced in nearly any web dev project Revised edition adds new examples and exercises  AUDIENCE Readers need only beginning-level JavaScript knowledge. No prior experience with jQuery is required.  ABOUT THE TECHNOLOGY jQuery is a fast and small JavaScript library that makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler than using native methods.

DescriptionFunctional languages help developers support concurrency by encouraging immutable data structures that can be passed between threads without having to worry about a shared state, all while avoiding side effects.  Functional Concurrency in .NET teaches readers how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers, architects, and passionate computer programmers.  Key Features• In-depth explanations• Hands-on examples• Step-by-step instructions  AudienceThis book is for readers with solid knowledge of a mainstream programming language, preferably C# or F#.  About the technologyTo maximize the utilization of the computational resources available, the Microsoft .NET platform provides parallel execution of code through multithreading. By leveraging parallelism, a program can take full advantage of the resources available.  Riccardo Terrell is a .NET seasoned software engineer, senior software architect and Microsoft MVP who is passionate about functional programming. He is well known and actively involved in the functional programming community including .NET meet ups and conferences and is the organizer for the Washington DC F# User Group.MANNING

One of the most powerful ways to understand data is to recognize theways in which each datum—person, product, etc—connects to another.Visualizing these graphs makes it possible to literally see theconnections. The graph model consists of data elements, called nodes,and edges, which are the relationships between these nodes. Graphsmake the relationships between the data elements a core part of thedata structure, which means you can better comprehend the meaning ofyour data. And visual data is easier for everyone to understand. Visualizing Graph Data teaches readers not only how to build graph data structures, but also how to create their own dynamic, interactivevisualizations using a variety of tools. This book is loaded withfascinating examples and case studies to show the real-world value ofgraph visualizations. It begins by teaching fundamental graph conceptsand techniques used to visualize graph data. Next, readers drill down tolearn how to create their own useful visualizations, as well asadditional tools. Readers also learn how to model data, create the bestgraphs for their particular audience, handle big data, and depicttemporal and spatial data. By the end of this book, readers know to askthe right questions of data to create powerful visualizations.  Key Features:• Real-world case studies • Teaches techniques for creating effective visualizations • Shows fundamental visualization concepts • Includes tutorials using the best visualization tools   AUDIENCEA basic understanding of RDBMS systems is assumed. No previousknowledge of graph databases required.  ABOUT THE TECHNOLOGYThe graph way of thinking about data is becoming more and more popularas people value the relationships between bits of data as much as the datathemselves. Key to understanding the complex structure of connected data isbeing able to visualize those connections.

DESCRIPTIONAs an increasing number of users access websites from mobilenetworks, optimization is becoming a crucial part of the userexperience. To succeed, the delivery of content must be optimized.There is also a need to stay focused on aspects that can impact websitespeed, such as conservation of bandwidth, overall content deliveryspeed and responsiveness. Web Performance in Action teaches web optimization as a discipline. The book begins with explaining the importance of optimizedwebsites, and the impact of site speed on users. As the bookprogresses, readers learn how to optimize CSS, JavaScript, images, andfonts. By the end of the book, readers should be able to apply thesetechniques to their web development projects, and develop an automated workflow that incorporates this newfound knowledge. KEY FEATURES • Creating better user experiences • Real-world techniques that can be immediately applied • Foundational optimization practices such as minification and compression • Optimizing images to save bandwidth • Optimal handling of fonts • Automating an optimal workflow with Grunt AUDIENCEThis book assumes readers are familiar with HTML, CSS, andJavaScript.ABOUT THE TECHNOLOGYAt its core, optimized websites improve upon the user experience. Bymaking sites faster, you’re improving the user experience by speeding upthe delivery of content. Optimized sites are also more responsive, scalebetter, and save you money by using less bandwidth.

JavaScript can be used to control hordes of small robots, creative maker projects, and IoT devices. With the Node.js ecosystem at hand, hardware prototyping gets fun, intuitive and fast.  JavaScript on Things is the first step into the exciting world of programming for small electronics. This fully-illustrated, hands-on book teaches readers how to get going with platforms like Arduino, Tessel, and Raspberry Pi.  Key Features: ·    Fully illustrated·    Hands-on teaching style·    Step-by-step instructions  Written for readers with intermediate JavaScript and Node.js skills. No experience with embedded systems or robotics required.  About the Technology:  There are lots of web developers who have a solid grasp of software but haven't ever worked with hardware. This gap is starting to be filled by an assortment of approaches that use the common programming language of the Web, JavaScript.

Spring Framework has been making Java developers more productive and successful for over a dozen years, and it shows no signs of slowing down!  Spring in Action, 5th Edition is the fully-updated revision of Manning's bestselling Spring in Action. This new edition includes all Spring 5.0 updates, along with new examples on reactive programming, Spring WebFlux, and microservices. Readers will also find the latest Spring best practices, including Spring Boot for application setup and configuration.  Key Features·   Developing reactive applications with Spring·   Building applications with Spring and Spring Boot·   Spring MVC for web apps and RESTful web services·   Writing Spring-enabled data repositories  AudienceWritten for intermediate Java developers.  Author BioCraig Walls is a software developer at Pivotal. He's a popular author and frequent speaker at user groups and conferences.

With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You’ll get familiar with Python’s functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you’ll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features• An introduction to functional and parallel programming • Data science workflow • Profiling code for better performance • Fulfilling different quality objectives for a single unifying task • Python multiprocessing • Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist’s dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online.

Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP.  The design rules for different types of objectsBest practices for naming objectsTesting an object’s behavior instead of its implementationExercises for each chapter to test your design skills